This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 6841–6860 of 32430 papers
Koukos, Alkiviadis, Kondylatos, Spyros, Nord-Larsen, Thomas +3
This dataset provides wall-to-wall predictions of tree species composition across Denmark at 10 m resolution, generated using machine learning (MLP) trained on national forest inventory data and satellite remote sensing (Sentinel-1, Sentine…
Alanazi, Majed, Hughes, Kevin J., Pourkashanian, Mohamed
This dataset supports verification, multi-dataset validation, and uncertainty quantification of a 1D PEM electrolysis model for gigawatt-scale green hydrogen design. It includes COMSOL polarization exports, digitized experimental points fro…
Shang, Wen-Long, cheng, haibo
This study develops a peak-minimization model integrating bidirectional EV charging (V2G) with distributed solar (rooftop and vehicle-integrated PV). Using UK smart-meter data and the IEEE European test feeder, it shows V2G alone cuts peak …
Habuer, .
To address uncertainty in future energy prices, a Monte Carlo sensitivity analysis was conducted using Oracle Crystal Ball. Annual electricity price escalation, gas price escalation, and feed-in tariff (FIT) changes were defined as probabil…
(著者不明)
This paper analyzes spatiotemporal patterns of GHG emissions from China's waste management sector and proposes pathways to carbon neutrality. It identifies regional and sectoral emission characteristics, informing policy priorities.
(著者不明)
This paper models greenhouse gas mitigation strategies in Australian dairy farming, evaluating the combined effect of stacking current and emerging practices. It aims to quantify the emission reduction potential of integrated approaches, pr…
Efstratios Mikropoulos, Toon van Harmelen, Ernst Worrell +1
This review systematically examines the treatment of materials in energy system models and proposes an integrated energy-material framework for circular economy and decarbonisation pathways. By linking material supply-demand with energy dyn…
Hideaki Obane
This study reveals a significant gap between decarbonization targets and practical solar and wind deployment potential in ASEAN using a high-resolution spatial framework. Integrating building footprints, land use, and offshore data, it show…
Hariprasad Valiya Parambath, Rajesh Mehta, Clare Harvey +6
This paper focuses on scaling up plasma technology for decarbonizing the chemical industry. Plasma technology leverages high temperatures and energy density to electrify and improve efficiency of conventional chemical processes, potentially…
Yanxun Gu, Kun Yang, Jian Cao +1
This review critiques the limitations of national-average grid carbon emission factors (CEFs) that ignore spatial and temporal heterogeneity, and evaluates the emerging paradigm of grid hierarchical and zonal division. It proposes an integr…
Smolarz A.
This paper proposes a matrix-based modeling approach and algorithm to determine the origin of electricity consumed from low-carbon and renewable sources. It enables more accurate tracking of electricity attribution, potentially contributing…
Karakosta C.
This paper examines strategies and pathways for reducing greenhouse gas emissions in the construction sector, reviewing policy and technological approaches to decarbonize construction activities and addressing industry-specific challenges a…
Holzapfel P.
This paper quantitatively analyzes the effects and challenges of replacing location-based electricity consumption with market-based residual mixes in background data to avoid double counting. It provides insights for accurate Scope 2 emissi…
Andersen P.B.
This project conducted cross-brand service testing using V2G (Vehicle-to-Grid) technology, connecting electric vehicles to the power grid for demand response and renewable energy integration. It aims to validate the practicality and interop…
Harsh A.H.
This paper provides an overview of CCUS technology, explaining the processes of CO2 capture, utilization, and storage, and their importance. It outlines the role and challenges of CCUS in achieving a decarbonized society.
Sha F.
This paper proposes a method for the controllable synthesis of various calcium carbonate (CaCO3) morphologies based on a CCUS (Carbon Capture, Utilization, and Storage) perspective. It demonstrates the potential for CO2 fixation through min…
Zhang S.
This paper analyzes the design of green bonds using a double-barrier option framework. It applies mathematical modeling to pricing and risk management, exploring optimal structures for both investors and issuers. The study strengthens the t…
Kumar M.
This paper compares investor strategies between green bond markets and traditional bond markets, revealing unique investor characteristics and market dynamics. It provides empirical insights into the efficiency and investor preferences of g…
Guo Q.
Using China's carbon emissions trading scheme (ETS) as a quasi-natural experiment, this study empirically examines the impact of carbon finance on corporate emissions reduction. It suggests that the interaction between policy and finance en…
Espinosa-Flor S.I.
This paper examines the ethical and economic foundations of emissions trading and carbon markets, contrasting the 'right to pollute' with the 'duty to mitigate' to discuss the legitimacy and design principles of emissions trading schemes. I…
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